Pub Date : 2023-11-08DOI: 10.1109/TMBMC.2023.3329801
Mustafa Can Gursoy;Urbashi Mitra
Diffusion-based molecular communications (DBMC) systems rely on diffusive propagation of molecules to convey information. In a DBMC system, as each emitted molecule experiences a stochastic delay, pulse shaping is crucial for a DBMC system’s reliability and overall performance. To this end, acknowledging the inherent resource-limited nature of a DBMC system, a novel framework to model and optimize a DBMC transmitter is introduced in this paper. Leveraging tools from wireless packet scheduling theory, the DBMC pulse shaping problem is formulated as an energy-constrained resource allocation problem. Through the developed framework, it is shown that the provably optimal pulse shape that minimizes the error probability is the delayed-spike pulse, where the incurred delay is a decreasing function of the available energy budget. The framework is then extended to both absorbing and passive/observing receiver structures, as well as systems where molecules can degrade in the transmitter body prior to release. Numerical results corroborate the developed analysis, and show that the delayed-spike outperforms conventional, non-zero-width pulse shapes in terms of error performance.
{"title":"Scheduling-Based Transmit Signal Shaping in Energy-Constrained Molecular Communications","authors":"Mustafa Can Gursoy;Urbashi Mitra","doi":"10.1109/TMBMC.2023.3329801","DOIUrl":"10.1109/TMBMC.2023.3329801","url":null,"abstract":"Diffusion-based molecular communications (DBMC) systems rely on diffusive propagation of molecules to convey information. In a DBMC system, as each emitted molecule experiences a stochastic delay, pulse shaping is crucial for a DBMC system’s reliability and overall performance. To this end, acknowledging the inherent resource-limited nature of a DBMC system, a novel framework to model and optimize a DBMC transmitter is introduced in this paper. Leveraging tools from wireless packet scheduling theory, the DBMC pulse shaping problem is formulated as an energy-constrained resource allocation problem. Through the developed framework, it is shown that the provably optimal pulse shape that minimizes the error probability is the delayed-spike pulse, where the incurred delay is a decreasing function of the available energy budget. The framework is then extended to both absorbing and passive/observing receiver structures, as well as systems where molecules can degrade in the transmitter body prior to release. Numerical results corroborate the developed analysis, and show that the delayed-spike outperforms conventional, non-zero-width pulse shapes in terms of error performance.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"9 4","pages":"447-460"},"PeriodicalIF":2.2,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135508660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the most severe COVID-19 cases, often the cytokine molecules produced by the immune system to fight off coronavirus infection become hyperactive. This leads to “cytokine storm”, which is a serious adverse medical condition causing multiple organ failures. In this work, we propose a system model that captures the transmission of cytokines from the alveoli, the propagation via the vascular channel, and the reception in the blood vessel wall. We analyze the impact of different diseases on induced cytokine storm. The proposed analytical model helps observe the behavior of cytokine storm in different medical conditions. We perform particle-based simulations to analyze the proposed end-to-end channel model describing the cytokine storm in terms of gain and delay, which is inspired from the existing molecular communication channel models from literature. We observe that the channel gain mostly remains unaffected for upto three times increase in the channel length, while, with four times increase, the gain increases upto 16% at 1000 rad/s frequency. We analyze the channel response to the different stimuli of interactions between the cytokines and their varying release rates. We evaluate the cytokine signal at the receiver and observe that lesser diffusion leads to higher cytokine concentration at the receiver.
{"title":"Channel Characterization of Molecular Communications for Cytokine Storm in COVID-19 Patients","authors":"Saswati Pal;Sudip Misra;Nabiul Islam;Sasitharan Balasubramaniam","doi":"10.1109/TMBMC.2023.3327869","DOIUrl":"10.1109/TMBMC.2023.3327869","url":null,"abstract":"In the most severe COVID-19 cases, often the cytokine molecules produced by the immune system to fight off coronavirus infection become hyperactive. This leads to “cytokine storm”, which is a serious adverse medical condition causing multiple organ failures. In this work, we propose a system model that captures the transmission of cytokines from the alveoli, the propagation via the vascular channel, and the reception in the blood vessel wall. We analyze the impact of different diseases on induced cytokine storm. The proposed analytical model helps observe the behavior of cytokine storm in different medical conditions. We perform particle-based simulations to analyze the proposed end-to-end channel model describing the cytokine storm in terms of gain and delay, which is inspired from the existing molecular communication channel models from literature. We observe that the channel gain mostly remains unaffected for upto three times increase in the channel length, while, with four times increase, the gain increases upto 16% at 1000 rad/s frequency. We analyze the channel response to the different stimuli of interactions between the cytokines and their varying release rates. We evaluate the cytokine signal at the receiver and observe that lesser diffusion leads to higher cytokine concentration at the receiver.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"9 4","pages":"425-434"},"PeriodicalIF":2.2,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135212692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-24DOI: 10.1109/TMBMC.2023.3327302
Hadeel Elayan;Andrew W. Eckford;Raviraj S. Adve
Folding of proteins into their correct native structure is key to their function. Simultaneously, the intricate interplay between cell movement and protein conformation highlights the complex nature of cellular processes. In this work, we demonstrate the impact of Terahertz (THz) signaling on controlling protein conformational changes in a random medium. Our system of interest consists of a communication link that involves a nanoantenna transmitter, a protein receiver, and a channel composed of moving red blood cells. Due to the system dynamics, we investigate the influence of both the fast and slow channel variations on protein folding. Specifically, we analyze the system’s selectivity to asses the effectiveness of the induced THz interaction in targeting a specific group of proteins under fading conditions. By optimizing the selectivity metric with respect to the nanoantenna power and frequency, it is possible to enhance the controllability of protein interactions. Our probabilistic analysis provides a new perspective regarding electromagnetically triggered protein molecules, their micro-environment and their interaction with surrounding particles. It helps elucidate how external conditions impact the protein folding kinetics and pathways. This results in not only understanding the mechanisms underlying THz-induced protein interactions but also engineering these still-emerging tools.
{"title":"Terahertz Induced Protein Interactions in a Random Medium","authors":"Hadeel Elayan;Andrew W. Eckford;Raviraj S. Adve","doi":"10.1109/TMBMC.2023.3327302","DOIUrl":"10.1109/TMBMC.2023.3327302","url":null,"abstract":"Folding of proteins into their correct native structure is key to their function. Simultaneously, the intricate interplay between cell movement and protein conformation highlights the complex nature of cellular processes. In this work, we demonstrate the impact of Terahertz (THz) signaling on controlling protein conformational changes in a random medium. Our system of interest consists of a communication link that involves a nanoantenna transmitter, a protein receiver, and a channel composed of moving red blood cells. Due to the system dynamics, we investigate the influence of both the fast and slow channel variations on protein folding. Specifically, we analyze the system’s selectivity to asses the effectiveness of the induced THz interaction in targeting a specific group of proteins under fading conditions. By optimizing the selectivity metric with respect to the nanoantenna power and frequency, it is possible to enhance the controllability of protein interactions. Our probabilistic analysis provides a new perspective regarding electromagnetically triggered protein molecules, their micro-environment and their interaction with surrounding particles. It helps elucidate how external conditions impact the protein folding kinetics and pathways. This results in not only understanding the mechanisms underlying THz-induced protein interactions but also engineering these still-emerging tools.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"9 4","pages":"435-446"},"PeriodicalIF":2.2,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135158256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-19DOI: 10.1109/TMBMC.2023.3325405
Max Bartunik;Janina Teller;Georg Fischer;Jens Kirchner
Testbeds play an essential role in the development of real-life molecular communication applications and experimental validation of communication channel models. Although some testbed concepts have been published in recent years, very few setups are inherently suitable for biomedical applications. Furthermore, systematic experimental data of a wide parameter field for molecular communication is scarce and often difficult to generate. In this work, a biocompatible testbed for molecular communication with magnetic nanoparticles is used to investigate a series of transmission channel parameters. The observed results are discussed in the context of a laminar flow channel. All experimental data regarding the parameter studies as well as an additional data set for a large binary transmission sequence is provided as a supplement to this publication. The data is available on a public server to allow for further use by other researchers.
{"title":"Channel Parameter Studies of a Molecular Communication Testbed With Biocompatible Information Carriers: Methods and Data","authors":"Max Bartunik;Janina Teller;Georg Fischer;Jens Kirchner","doi":"10.1109/TMBMC.2023.3325405","DOIUrl":"10.1109/TMBMC.2023.3325405","url":null,"abstract":"Testbeds play an essential role in the development of real-life molecular communication applications and experimental validation of communication channel models. Although some testbed concepts have been published in recent years, very few setups are inherently suitable for biomedical applications. Furthermore, systematic experimental data of a wide parameter field for molecular communication is scarce and often difficult to generate. In this work, a biocompatible testbed for molecular communication with magnetic nanoparticles is used to investigate a series of transmission channel parameters. The observed results are discussed in the context of a laminar flow channel. All experimental data regarding the parameter studies as well as an additional data set for a large binary transmission sequence is provided as a supplement to this publication. The data is available on a public server to allow for further use by other researchers.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"9 4","pages":"489-498"},"PeriodicalIF":2.2,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135056618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-13DOI: 10.1109/TMBMC.2023.3324487
Mohammad Javad Salariseddigh;Vahid Jamali;Uzi Pereg;Holger Boche;Christian Deppe;Robert Schober
Various applications of molecular communications (MC) are event-triggered, and, as a consequence, the prevalent Shannon capacity may not be the right measure for performance assessment. Thus, in this paper, we motivate and establish the identification capacity as an alternative metric. In particular, we study deterministic identification (DI) for the discrete-time Poisson channel (DTPC), subject to an average and a peak molecule release rate constraint, which serves as a model for MC systems employing molecule counting receivers. It is established that the number of different messages that can be reliably identified for this channel scales as $2^{(nlog n)R}$ , where ${n}$ and ${R}$ are the codeword length and coding rate, respectively. Lower and upper bounds on the DI capacity of the DTPC are developed. The obtained large capacity of the DI channel sheds light on the performance of natural DI systems such as natural olfaction, which are known for their extremely large chemical discriminatory power in biology. Furthermore, numerical results for the empirical miss-identification and false identification error rates are provided for finite length codes. This allows us to characterize the behaviour of the error rate for increasing codeword lengths, which complements our theoretically-derived scale for asymptotically large codeword lengths.
分子通信（MC）的各种应用都是由事件触发的，因此，流行的香农容量可能不是性能评估的正确指标。因此，在本文中，我们提出并确立了识别能力作为替代指标。特别是，我们研究了离散时间泊松信道（DTPC）的确定性识别（DI），该信道受平均分子释放率和峰值分子释放率的限制，可作为采用分子计数接收器的 MC 系统的模型。研究证明，在该信道中可以可靠识别的不同信息的数量为 $2^{(nlog n)R}$ ，其中 ${n}$ 和 ${R}$ 分别为码字长度和编码率。本文提出了 DTPC 的 DI 容量的下限和上限。DI 信道所获得的大容量揭示了自然 DI 系统（如自然嗅觉）的性能，众所周知，自然嗅觉在生物学中具有极强的化学判别能力。此外，我们还提供了有限长度编码的经验误识别率和误识别错误率的数值结果。这使我们能够描述误码率在码字长度增加时的表现，从而补充了我们从理论上推导出的渐近大码字长度的规模。
{"title":"Deterministic Identification for Molecular Communications Over the Poisson Channel","authors":"Mohammad Javad Salariseddigh;Vahid Jamali;Uzi Pereg;Holger Boche;Christian Deppe;Robert Schober","doi":"10.1109/TMBMC.2023.3324487","DOIUrl":"10.1109/TMBMC.2023.3324487","url":null,"abstract":"Various applications of molecular communications (MC) are event-triggered, and, as a consequence, the prevalent Shannon capacity may not be the right measure for performance assessment. Thus, in this paper, we motivate and establish the identification capacity as an alternative metric. In particular, we study deterministic identification (DI) for the discrete-time Poisson channel (DTPC), subject to an average and a peak molecule release rate constraint, which serves as a model for MC systems employing molecule counting receivers. It is established that the number of different messages that can be reliably identified for this channel scales as \u0000<inline-formula> <tex-math>$2^{(nlog n)R}$ </tex-math></inline-formula>\u0000, where \u0000<inline-formula> <tex-math>${n}$ </tex-math></inline-formula>\u0000 and \u0000<inline-formula> <tex-math>${R}$ </tex-math></inline-formula>\u0000 are the codeword length and coding rate, respectively. Lower and upper bounds on the DI capacity of the DTPC are developed. The obtained large capacity of the DI channel sheds light on the performance of natural DI systems such as natural olfaction, which are known for their extremely large chemical discriminatory power in biology. Furthermore, numerical results for the empirical miss-identification and false identification error rates are provided for finite length codes. This allows us to characterize the behaviour of the error rate for increasing codeword lengths, which complements our theoretically-derived scale for asymptotically large codeword lengths.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"9 4","pages":"408-424"},"PeriodicalIF":2.2,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136303272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We consider a multi-link diffusion-based molecular communication (MC) system where multiple spatially distributed transmitter (TX)-receiver (RX) pairs establish point-to-point communication links employing the same type of signaling molecules. To exploit the full potential of such a system, an in-depth understanding of the interplay between the spatial link density and inter-link interference (ILI) and its impact on system performance is needed. In this paper, we consider a three-dimensional unbounded domain with multiple spatially distributed point-to-point non-cooperative transmission links, where both the TXs and RXs are positioned on a regular fixed grid. For this setup, we first derive an analytical expression for the channel impulse responses (CIRs) between the TXs and RXs in the system. Then, we derive the maximum likelihood (ML) detector for the RXs and show that it reduces to a threshold-based detector. Moreover, we derive an analytical expression for the corresponding detection threshold which depends on the statistics of the desired signal from the dedicated TX, the statistics of the MC channel, and the statistics of the ILI. We also provide a low-complexity suboptimal decision threshold. Furthermore, we derive an analytical expression for the bit error rate (BER) and the achievable rate of a single transmission link. Finally, we propose two new performance metrics, namely area rate efficiency (ARE) and area and time rate efficiency (ARTE), suitable for holistically evaluating spatially distributed multi-link MC systems. In particular, ARE and ARTE capture the tradeoff between transmission link density and achievable rate per link and the tradeoff between transmission link density, achievable rate per link, and inter-symbol interference (ISI), respectively. Hence, ARE and ARTE can be exploited to determine the optimal transmission link density for maximizing the throughput of the entire system.
我们考虑了一种基于多链路扩散的分子通信（MC）系统，在该系统中，多个空间分布的发射器（TX）-接收器（RX）对利用同类信号分子建立点对点通信链路。为了充分发挥这种系统的潜力，需要深入了解空间链路密度和链路间干扰（ILI）之间的相互作用及其对系统性能的影响。在本文中，我们考虑了一个具有多个空间分布式点对点非合作传输链路的三维无界域，其中发送端和接收端都位于一个规则的固定网格上。对于这种设置，我们首先推导出系统中发射机和接收机之间信道脉冲响应（CIR）的解析表达式。然后，我们推导出 RX 的最大似然 (ML) 检测器，并证明它可以简化为基于阈值的检测器。此外，我们还推导出了相应检测阈值的解析表达式，该阈值取决于专用 TX 的期望信号统计量、MC 信道统计量和 ILI 统计量。我们还提供了一个低复杂度的次优决策阈值。此外，我们还推导出了单个传输链路的误码率 (BER) 和可实现速率的分析表达式。最后，我们提出了两个新的性能指标，即区域速率效率（ARE）和区域与时间速率效率（ARTE），适用于整体评估空间分布式多链路 MC 系统。其中，ARE 和 ARTE 分别捕捉了传输链路密度和每个链路的可实现速率之间的权衡，以及传输链路密度、每个链路的可实现速率和符号间干扰（ISI）之间的权衡。因此，可以利用 ARE 和 ARTE 来确定最佳传输链路密度，从而最大限度地提高整个系统的吞吐量。
{"title":"Area Rate Efficiency in Multi-Link Molecular Communications","authors":"Lukas Brand;Sebastian Lotter;Vahid Jamali;Robert Schober;Maximilian Schäfer","doi":"10.1109/TMBMC.2023.3321193","DOIUrl":"https://doi.org/10.1109/TMBMC.2023.3321193","url":null,"abstract":"We consider a multi-link diffusion-based molecular communication (MC) system where multiple spatially distributed transmitter (TX)-receiver (RX) pairs establish point-to-point communication links employing the same type of signaling molecules. To exploit the full potential of such a system, an in-depth understanding of the interplay between the spatial link density and inter-link interference (ILI) and its impact on system performance is needed. In this paper, we consider a three-dimensional unbounded domain with multiple spatially distributed point-to-point non-cooperative transmission links, where both the TXs and RXs are positioned on a regular fixed grid. For this setup, we first derive an analytical expression for the channel impulse responses (CIRs) between the TXs and RXs in the system. Then, we derive the maximum likelihood (ML) detector for the RXs and show that it reduces to a threshold-based detector. Moreover, we derive an analytical expression for the corresponding detection threshold which depends on the statistics of the desired signal from the dedicated TX, the statistics of the MC channel, and the statistics of the ILI. We also provide a low-complexity suboptimal decision threshold. Furthermore, we derive an analytical expression for the bit error rate (BER) and the achievable rate of a single transmission link. Finally, we propose two new performance metrics, namely area rate efficiency (ARE) and area and time rate efficiency (ARTE), suitable for holistically evaluating spatially distributed multi-link MC systems. In particular, ARE and ARTE capture the tradeoff between transmission link density and achievable rate per link and the tradeoff between transmission link density, achievable rate per link, and inter-symbol interference (ISI), respectively. Hence, ARE and ARTE can be exploited to determine the optimal transmission link density for maximizing the throughput of the entire system.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"9 4","pages":"391-407"},"PeriodicalIF":2.2,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138739495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-19DOI: 10.1109/TMBMC.2023.3292628
{"title":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Publication Information","authors":"","doi":"10.1109/TMBMC.2023.3292628","DOIUrl":"https://doi.org/10.1109/TMBMC.2023.3292628","url":null,"abstract":"","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"9 3","pages":"C2-C2"},"PeriodicalIF":2.2,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/6687308/10255331/10255350.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67982997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-19DOI: 10.1109/TMBMC.2023.3309471
Vahid Jamali;Falko Dressler;Yifan Chen;Maximilian Schäfer;Robert Schober
Molecular Communication (MC) is a highly interdisciplinary research field whose success requires the close collaboration between researchers from different fields of science. To support and highlight this interdisciplinary character, the Workshop on Molecular Communications (MolCom; https://molecularcommunications.org/ ) has been held annually since 2016 to provide the opportunity to meet, and share work and experience. The Workshop tries to promote research beyond the conventional disciplinary boundaries between engineering, the physical sciences, natural sciences, and medicine.
{"title":"Guest Editorial Introduction to the Special Feature on the 7th Workshop on Molecular Communications","authors":"Vahid Jamali;Falko Dressler;Yifan Chen;Maximilian Schäfer;Robert Schober","doi":"10.1109/TMBMC.2023.3309471","DOIUrl":"https://doi.org/10.1109/TMBMC.2023.3309471","url":null,"abstract":"Molecular Communication (MC) is a highly interdisciplinary research field whose success requires the close collaboration between researchers from different fields of science. To support and highlight this interdisciplinary character, the Workshop on Molecular Communications (MolCom; \u0000<uri>https://molecularcommunications.org/</uri>\u0000) has been held annually since 2016 to provide the opportunity to meet, and share work and experience. The Workshop tries to promote research beyond the conventional disciplinary boundaries between engineering, the physical sciences, natural sciences, and medicine.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"9 3","pages":"308-311"},"PeriodicalIF":2.2,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/6687308/10255331/10255356.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67982987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-19DOI: 10.1109/TMBMC.2023.3292630
{"title":"IEEE Communications Society Information","authors":"","doi":"10.1109/TMBMC.2023.3292630","DOIUrl":"https://doi.org/10.1109/TMBMC.2023.3292630","url":null,"abstract":"","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"9 3","pages":"C3-C3"},"PeriodicalIF":2.2,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/6687308/10255331/10255341.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67981860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-19DOI: 10.1109/TMBMC.2023.3309488
Murat Kuscu;Pasquale Stano;Malcolm Egan;Michael T. Barros;Bige Deniz Unluturk;Gregory F. Payne
The Transfer of ‘information’ via molecules is a theme that resonates across the realm of nature, underlying collective behavior, homeostasis, and many disorders and diseases, and potentially holding the answers to some of the life’s most profound questions. The prospects of understanding and manipulating this natural modality of communication have attracted a significant research interest from information and communication theorists (ICT) over the past two decades. The aim is to provide novel means of understanding and engineering biological systems. These efforts have produced substantial body of literature that sets the groundwork for bio-inspired, artificial Molecular Communication (MC) systems. This ICT-based perspective has also contributed to the understanding of natural MC, with many of the results from these endeavors being published in this journal.
{"title":"Guest Editorial Special Feature on Bio-Chem-ICTs: Synergies Between Bio/Nanotechnologies and Molecular Communications","authors":"Murat Kuscu;Pasquale Stano;Malcolm Egan;Michael T. Barros;Bige Deniz Unluturk;Gregory F. Payne","doi":"10.1109/TMBMC.2023.3309488","DOIUrl":"https://doi.org/10.1109/TMBMC.2023.3309488","url":null,"abstract":"The Transfer of ‘information’ via molecules is a theme that resonates across the realm of nature, underlying collective behavior, homeostasis, and many disorders and diseases, and potentially holding the answers to some of the life’s most profound questions. The prospects of understanding and manipulating this natural modality of communication have attracted a significant research interest from information and communication theorists (ICT) over the past two decades. The aim is to provide novel means of understanding and engineering biological systems. These efforts have produced substantial body of literature that sets the groundwork for bio-inspired, artificial Molecular Communication (MC) systems. This ICT-based perspective has also contributed to the understanding of natural MC, with many of the results from these endeavors being published in this journal.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"9 3","pages":"351-353"},"PeriodicalIF":2.2,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/6687308/10255331/10255347.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67982992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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